Static robust optimization (RO) is a methodology to solve mathematical optimization
problems with uncertain data. The objective of static RO is to find solutions that are immune …

Optimization models have been widely used in the power industry to aid the decision-
making process of scheduling and dispatching electric power generation resources, a …

This paper focuses on the role of networked microgrids as distributed systems for enhancing
the power system resilience against extreme events. Resilience is an intrinsically complex …

Multi-uncertainties impose enormous challenges to the optimal scheduling of power
systems, and two-stage robust optimization (TSRO) theory has been widely investigated and …

High penetration of wind generation will increase the requirement for fast frequency
response services as currently wind plants do not provide inertial response. Although the …

This paper proposes a coordinated regional-district operation of integrated energy system
(IES) for enhancing resilience in extreme conditions. A bi-directional flow model is …

This paper presents an adjustable robust optimization approach to account for the
uncertainty of renewable energy sources (RESs) in optimal power flow (OPF). It proposes an …

Flexibility is a widely used term in planning process and real-time operation. The existing
research on flexibility uses different techniques to study flexibility property from different …

The growing uncertainty associated with the increasing penetration of wind and solar power
generation has presented new challenges to the operation of large-scale electric power …

The deep penetration of wind and solar power is a critical component of the future power
grid. However, the intermittency and stochasticity of these renewable resources bring …